Machine Hearing is a computational framework that enables machines to perceptually organize and interpret complex auditory environments by integrating bottom-up signal processing with top-down cognitive modeling, thereby mimicking the human capacity for Auditory Scene Analysis.
26
Publications
1.4K
Citations
62
Authors
42
Institutions
Publications per year
2017–2026
16
Parents
Publications
26
Programming pattern recognition
G. P. Dinneen · 1955 · 115 citations
Machine Hearing: An Emerging Field [Exploratory DSP
Richard F. Lyon · IEEE Signal Processing Magazine · 2010 · 106 citations
1–5 of 26
Authors
62
- RF
3
h-index
- VA
2
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- JH
2
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- XW
2
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- KD
2
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1–5 of 62
Institutions
42
McGovern Institute for Brain Research
Cambridge, United States
2 h-index
6 publications
243 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
81 citations
University of Science and Technology of China
Hefei, China
2 h-index
8 publications
1.1K citations
Democritus University of Thrace
Komotini, Greece
2 h-index
6 publications
135 citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
159 citations
Huawei Technologies (Germany)
Düsseldorf, Germany
2 h-index
2 publications
279 citations
Universidad San Francisco de Quito
Quito, Ecuador
1 h-index
1 publications
24 citations
Fuzhou University
Fuzhou, China
1 h-index
8 publications
1.2K citations
1–8 of 42
Venues
- The Journal of the Acoustical Society of America
JASA · 3 publications · 93 citations
3
h-index
- IEEE/ACM Transactions on Audio Speech and Language Processing
TASLP · 2 publications · 289 citations
2
h-index
- bioRxiv (Cold Spring Harbor Laboratory)
Repository · 1 publications · 15 citations
1
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- Journal of Manufacturing and Materials Processing
1 publications · 38 citations
1
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- Procedia Computer Science
1 publications · 12 citations
1
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1–5